This app is meant to be used to find the best price/quality wines in the market. You can refine your search based on scores and prices, and inspect the data in a chart split by country, and a complete table.
10/20/2019
This app is meant to be used to find the best price/quality wines in the market. You can refine your search based on scores and prices, and inspect the data in a chart split by country, and a complete table.
We first load wines from original source (VIVINO) and filter out some:
wine_ratings <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-05-28/winemag-data-130k-v2.csv")
Parsed with column specification: cols( X1 = col_double(), country = col_character(), description = col_character(), designation = col_character(), points = col_double(), price = col_double(), province = col_character(), region_1 = col_character(), region_2 = col_character(), taster_name = col_character(), taster_twitter_handle = col_character(), title = col_character(), variety = col_character(), winery = col_character() )
## Selecting by avg_price
Thanks to all co-students that will review this work.